Big Data, Data Mining and Data Science: Algorithms, Infrastructures, Management and Security

Book

Big Data, Data Mining and Data Science

Algorithms, Infrastructures, Management and Security

Edited by: George Dimitoglou , Leonidas Deligiannidis and Hamid R. Arabnia

Language: English

Published/Copyright: 2025

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This book is in the series

Volume 2 | Intelligent Computing

About this book

Through the application of cutting-edge techniques like Big Data, Data Mining, and Data Science, it is possible to extract insights from massive datasets. These methodologies are crucial in enabling informed decision-making and driving transformative advancements across many fields, industries, and domains. This book offers an overview of latest tools, methods and approaches while also highlighting their practical use through various applications and case studies.

Presents advances in Big Data, Data Mining, and Data Science research and applications.

Discusses novel algorithms, techniques, methodologies, infrastructures, frameworks, and privacy preservation.

Includes Real-world case studies and use cases.

Author / Editor information

G. Dimitoglou, Hood Coll.; L. Deligiannidis, W. Inst. of Tech, USA; H.R. Arabnia, U Georgia, Georgia.

Topics

Publicly Available

Frontmatter
I

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Preface
V

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Publicly Available

Contents
VII

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Methods and instrumentation
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1 Identifying and estimating outliers in time series with nonstationary mean through multiobjective optimization method
1
Koki Kyo
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2 Using the intentionally linked entities (ILE) database system to create hypergraph databases with fast and reliable relationship linking, with example applications
21
Vitit Kantabutra
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3 Rapid and automated determination of cluster numbers for high-dimensional big data: a comprehensive update
37
Zohreh Safari
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4 Canonical correlation analysis and exploratory factor analysis of the four major centrality metrics
49
Natarajan Meghanathan
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5 Navigating the landscape of automated data preprocessing: an in-depth review of automated machine learning platforms
71
Abderahim Salhi, Althea C. Henslee, James Ross, Joseph Jabour and Ian Dettwiller
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6 Generating random XML
83
Peter M. Maurer and John Carbone
Applications and case studies
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7 Exploring autism risk: a deep dive into graph neural networks and gene interaction data
105
Danushka Bandara and Kyle Riccardi
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8 Leveraging ChatGPT and table arrangement techniques in advanced newspaper content analysis for stock insights
121
Masaki Murata
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9 An experimental study on road surface classification
145
Addisson Salazar, Gonzalo Safont, Luis Vergara and Alberto Gonzalez
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10 RNN models for evaluating financial indices: examining volatility and demand-supply shifts in financial markets during COVID-19
165
Ray R. Hashemi, Omid M. Ardakani, Jeffrey Young and Azita G. Bahrami
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11 Topological methods for vibration feature extraction
185
Dean Lee and Jamal Rorie
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12 Dyna-SPECTS: DYNAmic enSemble of Price Elasticity Computation models using Thompson Sampling in e-commerce
215
Srividhya Sethuraman, G. Uma, Sunny Kumar and Sharadha Ramanan
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13 Creating a metadata schema for reservoirs of data: a systems engineering approach
251
Barry C. White, Rachel E. Jordan, Reena R. Patel, LaKenya K. Walker and Matthew D. Bray
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14 Implementation and evaluation of an eXplainable artificial intelligence to explain the evaluation of an assessment analytics algorithm for freetext exams in psychology courses in higher education to attest QBLM-based competencies
271
Ramona Srbecky, Franz Bühler, Jörg Schuljak, Simon-Alexander Wetzel, Michael Winterhagen, Wieland Fraas, Jan Dettmers and Matthias Hemmje
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15 Toward a skill-centered qualification ontology supporting data mining of human resources in knowledge-based enterprise process representations
307
Adrian Vogler, Binh Vu, Tobias Vogel, Benjamin Gernhardt and Matthias Hemmje
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Index
333

Publishing information

Pages and Images/Illustrations in book

eBook published on:

December 30, 2024

eBook ISBN:

9783111344553

Hardcover published on:

December 30, 2024

Hardcover ISBN:

9783111344072

Pages and Images/Illustrations in book

Front matter:

8

Main content:

340

Illustrations:

83

Coloured Illustrations:

35

Tables:

49

https://doi.org/10.1515/9783111344553

eBook ISBN: 9783111344553

Hardcover ISBN: 9783111344072

Keywords for this book

Big Data; Data Mining; Data Science; Big Data Management and Frameworks

Audience(s) for this book

Libraries, scholars, and professionals studying Big Data, Data Mining, and Data Science advancements and applications.

Safety & product resources

Manufacturer information:
Walter de Gruyter GmbH
Genthiner Straße 13
10785 Berlin
productsafety@degruyterbrill.com

Big Data, Data Mining and Data Science

Overview

About this book

Author / Editor information

Topics

Table of contents

Frontmatter

Preface

Contents

1 Identifying and estimating outliers in time series with nonstationary mean through multiobjective optimization method

2 Using the intentionally linked entities (ILE) database system to create hypergraph databases with fast and reliable relationship linking, with example applications

3 Rapid and automated determination of cluster numbers for high-dimensional big data: a comprehensive update

4 Canonical correlation analysis and exploratory factor analysis of the four major centrality metrics

5 Navigating the landscape of automated data preprocessing: an in-depth review of automated machine learning platforms

6 Generating random XML

7 Exploring autism risk: a deep dive into graph neural networks and gene interaction data

8 Leveraging ChatGPT and table arrangement techniques in advanced newspaper content analysis for stock insights

9 An experimental study on road surface classification

10 RNN models for evaluating financial indices: examining volatility and demand-supply shifts in financial markets during COVID-19

11 Topological methods for vibration feature extraction

12 Dyna-SPECTS: DYNAmic enSemble of Price Elasticity Computation models using Thompson Sampling in e-commerce

13 Creating a metadata schema for reservoirs of data: a systems engineering approach

14 Implementation and evaluation of an eXplainable artificial intelligence to explain the evaluation of an assessment analytics algorithm for freetext exams in psychology courses in higher education to attest QBLM-based competencies

15 Toward a skill-centered qualification ontology supporting data mining of human resources in knowledge-based enterprise process representations

Index

Bibliographic data